Senior Data Analyst

Overview

An independent individual contributor on the PDS team who acts as an analytics expert, driving new analytics ideas, data exploration, QBR and insights work, and the execution of technical tools for business growth.

What you'll do

• Own entire delivery for Campaign Insights designed by Global Product.
• Continuously improve and optimize existing solutions based on evolving product needs.
• Communicate complicated data solutions to non-technical stakeholders through data storytelling.
• Share recommendations on project-specific data usage.
• Actively develop and expand logic for the insights.
• Partner with tech, Product and DM to carry out deliverables seamlessly.
• Bring in innovative analytics solutions to solve product problems with the focus of increasing Share of Wallet.
• Brainstorm and identify data gaps and data opportunities.
• Build full-proof solutions for insights which can be easily deployed.
• Explore and integrate new data and APIs, including execution and measuring adoption and impact.
• Identify automation opportunities and collaborate with Analysts for execution.
• Provide technical expertise to the team in Python/R, Spark, Databricks and SQL, and ensure tech best practices through code optimizations.
• Proactively get involved in central PDS initiatives and arrange knowledge sharing sessions.
• Mentor and guide Analysts and interns on core data analytics competencies and the programmatic/MiQ landscape.
• Actively participate in hiring and onboarding for Analysts and Interns.
• Act as the bridge between Global Product requirements and executable data problems.

What you'll need

• Bachelor's degree in engineering or an equivalent quantitative field (such as Statistics, Mathematics, Economics).
• 4+ years of experience in the analytics domain.
• Working knowledge of Python/R.
• Proficient in advanced SQL / Excel / Google Sheets.
• Ability to break down and solve problems through quantitative thinking and analysis.
• Experience handling large datasets and deriving insights from them.
• Data visualization and data storytelling skills.
• Knowledge of Big Data processing tools like Qubole/Databricks/Spark.
• API integrations.
• Ability to communicate effectively, both verbally and in writing, on day-to-day deliverables.
• Ability to work collaboratively with peers and business/technical teams.
• Focus on timely execution and quality of delivery.
• Passion for data analysis, continuous learning and professional development.
• Ability to guide and mentor analysts and new team members.
• Extreme attention to detail, ability to meet deadlines and prioritise workload.
• Demonstrated high degree of organization and ability to manage multiple, competing priorities.

Nice to have

• Programmatic Media / Ad-tech domain knowledge.

Details

• Location: Bengaluru.
• Hybrid work environment.